We have collection of more than 1 Million open source products ranging from Enterprise product to
small libraries in all platforms. We aggregate information from all open source repositories.
Search and find the best for your needs. Check out projects section.

pngquant is a PNG compresor that significantly reduces file sizes by converting images to a more efficient 8-bit PNG format with alpha channel (often 60-80% smaller than 24/32-bit PNG files). Compressed images are fully standards-compliant and are supported by all web browsers and operating systems.This is the official pngquant repository. The compression engine is also available as an embeddable library.

Image resizing, cropping and compression on the fly with the impressive MozJPEG compression algorithm. One Docker container to build your own Cloudinary-like service.You pass the image URL and a set of keys with options, like size or compression. Flyimg will fetch the image, convert it, store it, cache it and serve it. The next time the request comes, it will serve the cached version.

This is a fork of Gifsicle with lossy compression option. Gifsicle manipulates GIF image files. Depending on command line options, it can merge several GIFs into a GIF animation; explode an animation into its component frames; change individual frames in an animation; turn interlacing on and off; add transparency; add delays, disposals, and looping to animations; add and remove comments; flip and rotate; optimize animations for space; change images' colormaps; and other things.

pngquant is a PNG compressor that significantly reduces file sizes by converting images to a more efficient 8-bit PNG format with alpha channel (often 60-80% smaller than 24/32-bit PNG files). Compressed images are fully standards-compliant and are supported by all web browsers and operating systems. This is the official pngquant repository. The compression engine is also available as an embeddable library.

WavPack is a completely open audio compression format providing lossless, high-quality lossy, and a unique hybrid compression mode. For version 5.0.0, several new file formats and lossless DSD audio compression were added, making WavPack a universal audio archiving solution.

When compressing JPEG images, the same compression level is used on the entire image. However, most JPEG images contain homogeneous and heterogeneous areas, which are varyingly well-suited for compression. Compressing heterogeneous areas in JPEGs to reduce filesize causes compression artefacts due to the lossy nature of JPEG compression. This script adaptively alters the compression level for areas within JPEGs (per-block) to achieve optimized file size while maintaining a decent visual quality. This script achieves a significantly reduced file size compared to standard tools such as cjpeg while maintaining good visual quality, as can be measured via SSIM. This is good news for the Web Performance and thus Web Developer community to achieve a great user experience on websites.

JBIG2 is a compression format for lossless and lossy encoding of scanned monochrome documents at moderately high resolution. It is very efficient in that domain, claiming 100:1 compression. jbig2dec is a decoder-only implementation of the format.

In iOS and Mac OS apps there is typically a choice of two image formats: PNG format allows transparency but produces large image files and is unsuited to compressing images like photographs; JPEG is great for creating small files and provides a range of compression qualities to suit the subject matter, but doesn't allow for transparency. JPNG is a new image format that combines the best of both of the other formats. JPNG is not really a format in its own right, it's a simple file wrapper that combines a JPEG and PNG image within the same file. JPEG is used to efficiently compress the RGB portion of the image and PNG is used to store the alpha channel.

Image files constitute a majority of static web traffic.[17] Unlike text-based web file formats, binary image files do not benefit from built-in webserver-based HTTP gzip compression. imgmin offers an automated means for enforcing image quality as a standalone tool and as a webserver module. imgmin determines the optimal balance of image quality and filesize, often greatly reducing image size while retaining quality for casual use, which translates into more efficient use of storage and network bandwidth, which saves money and improves user experience. Websites are composed of several standard components. Most (HTML, CSS, Javascript, JSON, XML, etc) are text-based. They can be efficiently compressed for transfer via gzip, supported by all mainstream webservers and browsers. But image and video files are binary, non-text files, and generally are not worth auto-compressing in the webserver.

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Heroku. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.Supports multiple image operations exposed as a simple HTTP API, with additional optional features such as API token authorization, gzip compression, HTTP traffic throttle strategy and CORS support for web clients.

OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic (ILM) for use in computer imaging applications. ILM subsequently released the source code and adjoining material as open source software. The distribution has evolved to include support for stereoscopic and deep images. Weta Digital, Disney, Sony Pictures Imageworks, Pixar, DreamWorks Animation and other studios have made contributions to the code base. The file format has seen wide adoption in a number of industries.

An optimized implementation of the JPEG-LS standard for lossless and near-lossless image compression. JPEG-LS is a low-complexity standard that matches JPEG 2000 compression ratios. In terms of speed, CharLS outperforms open source and commercial JPEG LS implementations.

Scrimage is a consistent, idiomatic, and immutable scala library for manipulating and processing of images. The aim of the this library is to provide a quick and easy way to do the kinds of image operations that are most common, such as scaling, rotating, converting between formats and applying filters. It is not intended to provide functionality that might be required by a more "serious" image processing application - such as face recognition or movement tracking.

Apache Commons Imaging, previously known as Apache Commons Sanselan, is a library that reads and writes a variety of image formats, including fast parsing of image info (size, color space, ICC profile, etc.) and metadata. It's slower, consequently, but perfectly portable. It's easier to use than ImageIO/JAI/Toolkit (Sun/Java's image support), supports more formats (and supports them more correctly). It also provides easy access to metadata.

Miniz is a lossless, high performance data compression library in a single source file that implements the zlib (RFC 1950) and Deflate (RFC 1951) compressed data format specification standards. It supports the most commonly used functions exported by the zlib library, but is a completely independent implementation so zlib's licensing requirements do not apply. Miniz also contains simple to use functions for writing .PNG format image files and reading/writing/appending .ZIP format archives. Miniz's compression speed has been tuned to be comparable to zlib's, and it also has a specialized real-time compressor function designed to compare well against fastlz/minilzo. Please use the files from the releases page in your projects. Do not use the git checkout directly! The different source and header files are amalgamated into one miniz.c/miniz.h pair in a build step (amalgamate.sh). Include miniz.c and miniz.h in your project to use Miniz.